Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is not read-only and has open-world effects, and the description adds that the refresh applies to all connected platforms unless a specific one is chosen. It does not describe potential asynchronous behavior or side effects, but the annotations lower the burden and this is sufficient for a simple trigger action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of two short, front-loaded sentences. The first states the main purpose and the second gives a usage trigger, with no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity tool with one optional parameter, no output schema, and annotations covering safety, the description is complete. The agent knows what the tool does, when to use it, and how the optional parameter behaves.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter is fully documented in the schema, including its enum and the behavior when omitted ('Omit to sync all platforms'). The description adds 'all connected platforms' context but does not need to go beyond the schema, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Trigger a refresh of analytics data') and the scope ('from all connected platforms'). It distinguishes this tool from siblings like list_analytics and get_analytics_daily, which read data, by emphasizing the refresh/update nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says when to use the tool: 'Use this if analytics seem stale.' This gives a clear condition for invocation. However, it does not mention when not to use it or name any alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.